Reynolds Consumer Products (REYN) Operating Margin (2019 - 2026)
Reynolds Consumer Products (REYN) recorded Operating Margin of 14.62% in Q2 2026, up 0.76 percentage points from 13.86% a year earlier and up 3.44 percentage points from the prior quarter.
Powered by 
Analysis
Reynolds Consumer Products (REYN) Operating Margin (2019 - 2026) Analysis & Trends
On a TTM basis, Reynolds Consumer Products' Operating Margin came in at 14.63% as of Jun 30, 2026, up 0.17 percentage points year-over-year; for FY2025, it was 14.30%, down 0.56 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -4.55 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 14.86% in FY2024 (+1.23 pp), 13.63% in FY2023 (+2.21 pp), 11.42% in FY2022 (-2.39 pp) and 13.81% in FY2021 (-5.04 pp).
- Quarterly Operating Margin has ranged from 5.72% in Q1 2023 to 20.48% in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of -0.34 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 5.23 percentage points in Q3 2023, against a drop of 8.81 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.17% (Q1 2026), 17.79% (Q4 2025) and 14.39% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 18.95% |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 17.67% |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | -1.08% |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | 14.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.62% |
| Mar 31, 2026 | 11.17% |
| Dec 31, 2025 | 17.79% |
| Sep 30, 2025 | 14.39% |
| Jun 30, 2025 | 13.86% |
| Mar 31, 2025 | 10.39% |
| Dec 31, 2024 | 17.65% |
| Sep 30, 2024 | 15.16% |
| Jun 30, 2024 | 15.05% |
| Mar 31, 2024 | 10.80% |
| Dec 31, 2023 | 20.48% |
| Sep 30, 2023 | 14.33% |
| Jun 30, 2023 | 12.87% |
| Mar 31, 2023 | 5.72% |
| Dec 31, 2022 | 15.63% |
| Sep 30, 2022 | 9.10% |
| Jun 30, 2022 | 10.14% |
| Mar 31, 2022 | 10.06% |
| Dec 31, 2021 | 14.97% |
| Sep 30, 2021 | 11.60% |
API Access
Reynolds Consumer Products Operating Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-margin&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "REYN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();